code: def transpose_for_scores(self, x):
      new_x_shape = x.size()[:-1] + (
          self.num_attention_heads,
          self.attention_head_size,
      )
      x = x.view(*new_x_shape)
      return x.permute(0, 2, 1, 3)
  
file_path: lightseq/lightseq/training/pytorch_quantization/nn/modules/quant_bert.py
imports: import math
  import torch
  from torch import nn
  from lightseq.training.pytorch_quantization import nn
  from lightseq.training.pytorch_quantization.nn.modules.tensor_quantizer import TensorQuantizer
label_desc: Use image node_id 2 for calling the QuantBertSelfAttention obj's underlying member method code with example usage: obj.transpose_for_scores(x) and returns: x